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Big Data News & Analysis

Is Teradata Buying its Way into Big Data Leadership?

Teradata is serious about big data. In fact, when it comes to Hadoop, it wants to be the one-stop shop for its large customer base. Aside from making its existing products more powerful and more capable, it recently strengthened its support partnerships with independent Hadoop distro providers MapR and Cloudera, and signaled a continued commitment to Hortonworks, which in now publicly traded as Nasdaq:HDP.

Today the company announced that it has purchase RainStor, a provider of patented Enterprise archiving solutions around Hadoop.

Open Source Has Won: Now What's Your Strategy?

2014-17-December-World-Domination.jpgMany years ago, a friend who is a partner at McKinsey related a story from his years in grad school. He was at an AT&T presentation on Unix, held in a room full of bearded, jean-clad engineers and coders to hear about the wonders of Unix. He was standing in the back of the room in a jacket and tie, next to the other few coat-and-tie-attired attendees, who my friend characterized as IT managers from Fortune 100 companies.

During a break in the talk, one of the F100 folks leaned to another and whispered “I like everything I’ve seen about Unix -- except the people in this room.”

Jump ahead 30 years. Have you ever been to an ApacheCon? It’s like living in the 70s all over again.

What's Next for Big Data? Predictions for 2015

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Some people believe it takes two full years for students to fully understand and master new concepts. The first year in the cycle, when a new concept is introduced, is considered a learning year. The following year is considered a growth and review year.

The thinking holds that while students technically learn about new concepts during the first year, it’s not until the second year that they can truly begin applying them in an active manner, one that displays measurable growth and development.

In many ways, the landscape of big data at the close of 2014 can be described in similar terms.

Generally speaking, 2014 was a learning year. IT decision makers across all verticals realized they could no longer ignore the changing landscape brought on by growth in the volume, velocity and variety of data. Investments were made and infrastructure was overhauled. After many years of pomp and circumstance, 2014 was the year big data finally become the infrastructure of reality.

Q4/Q1 Planning: Top Marketing Technology, Social Business Conferences & Events (10-Dec-14)

Our industry event planner gives you the heads-up on what key industry events are coming around the corner. If we've missed something, don't hesitate to add your event to the list. (You can also view the full calendar here.)

You're Invited: Website Redesign - Strategy First, Tactics Second

Join CMSWire and Ektron on December 16th for a one-hour webinar on defining your brand and retaining customers through your web presence.


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IBM Patents Make Data Centers Smart Enough to Handle IoT

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IBM has patented two techniques that use analytics to improve cloud performance and efficiency in the data center. These patents probably won’t be put into practical use for at least a few years, but their development is noteworthy. Essentially, they are part of IBM's plan to stay on top of data center performance demands and needs as the Internet of Things gets into full swing.

IDC: 10 Predictions For Emerging Technologies In 2015

Thumbnail image for 2014-08-December-Passing-Platform.jpgWhether you realize it or not, every day you work on what International Data Corporation (IDC) describes as the third platform. By the end of next year, you will be doing a lot more work on it and using its technologies.

The rise and expansion of the third platform has reached a tipping point according to IDC, and with the growth of investments in the Internet of Things, big data, data centers, mobile and social computing, there is, in effect, no way of avoiding it.

IBM is Offering Watson Analytics - At No Charge

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IBM just announced a new use for Watson, its supercomputer: a freemium analytics service that's available to all business users. It provides business professionals a unified experience and natural language dialogue so they can make better use data to achieve business goals, IBM claims.

Since it announced a very limited beta in September, IBM claims 22,000 people have signed up for the service. That seems way below the minimum threshold needed to make this a viable business, which may explain why the company is now opening it up to everyone. The freemium service will automate the once time-consuming tasks of data preparation, predictive analysis and visual storytelling for business professionals.

Hortonworks IPO: 9 Days and Counting

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Wow, that was fast.

Less than a month after Hortonworks unveiled the news that it confidentially filed its S-1 with the US Securities and Exchange Commission, it has set its expected IPO date for Dec. 12, according to Nasdaq. The offer amount is $96.6 million, with prices for individual shares set at $12 to $14. A total of six million shares will be made available.

Hortonworks is the first independent, commercial Hadoop provider to go public. Some believe that its IPO will be a bellwether for the $50.2 billion data-related segments (data management and data storage) of the enterprise software market.

Q4/Q1 Planning: Top Marketing Technology, Social Business Conferences & Events (03-Dec-14)

Our industry event planner gives you the heads-up on what key industry events are coming around the corner. If we've missed something, don't hesitate to add your event to the list. (You can also view the full calendar here.)

You're Invited: Website Redesign - Strategy First, Tactics Second

Join CMSWire and Ektron on December 16th for a one-hour webinar on defining your brand and retaining customers through your web presence.


> Register Now

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Analytics is Everywhere

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We saw the usual spate of announcements coming from the major software companies this fall. Lots of new extensions to the Salesforce.com and Oracle marketing clouds, Adobe extensions and updates to Creative Cloud, and most recently, IBM’s Launch of IBM Verse. And that’s just the big players.

All of the fall software announcements had one thing in common: analytics. Whether it’s sales analysis, data for making marketing decisions or prioritizing emails, analytics -- predictive analytics especially -- is everywhere. It’s behind the latest supply chain management tools and integrated into CRM systems. Analytics is in email too.

Thanksgiving, Big Data and a Few Turkeys

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If anyone has the scoop on what people are thankful for, it’s Facebook. They don’t need to tap anyone on the shoulder, send out any surveys or buy any data sets. The world’s leading social networking site is rich in “likes," data, and some of the world’s best data scientists.

And not just that, but Facebook also has enthusiastic members who thrive on holiday challenges like “write down 3 things you are thankful for every day for the next 5 days.”

To a data scientist an onslaught of information like this spells opportunity to discover what most of us, collectively, believe is good in our lives and in the world.

Big Data is Getting Smaller and Smarter

2014-24-November-Big-Snail-Little-Snail.jpgBig data is out, small, smart data is in. That’s the word from the folks who have tried to tame big data and failed.

Big data is unwieldy…“useless, or even more than useless because it can distract businesses and consume a lot of resources for no value return,” according to Mike Fauscette, IDC analyst and Group Vice President. In a recent series of articles entitled Transforming Data in Action, Part I and Part II, Fauscette primarily lays the blame with the difficulty of finding "information needles hidden in Big Data haystacks."

Extracting Insight from Unstructured Data

The pace of digital information has resulted in the world's aggregate data doubling in size in shorter intervals than ever before. According to Gartner, about 80 percent of data held by an organization is unstructured data, made up of information from customer calls, emails and social media feeds. Add to this the large volumes of diagnostic information logged by embedded and user devices. While it's difficult to make a proper analysis from organized data, making sense of unstructured data comes with its own challenges.

Organizations now have to study structured, semi-structured and unstructured data sets to arrive at meaningful business decisions, including determining customer sentiment, cooperating with e-discovery requirements and personalizing offers for their customers.

But while sifting through vast amounts of information can look like a lot of work, it comes with rewards.

Customers Aren't Worried About Data Breaches [Infographic]

2014-20-November-yawn.jpgHere's good news for every company that's careless with personally identifiable information: Your customers apparently don't care.

A new study by global IT association ISACA shows that consumers haven’t changed their shopping behaviors despite a year of retail data breaches — worrisome, the organization maintains, especially with the shopaholic trifecta of Thanksgiving Day, Black Friday and Cyber Monday is just a week away.

It's not that consumers are unaware of the problem. According to the 2014 ISACA IT Risk/Reward Barometer, almost all US consumers (94 percent) have read or heard about major retailer data breaches in the past year. But while three-fourths of those surveyed claim those data breaches have increased their concerns about their personal data privacy, few are doing anything about it.

MapR, Teradata Ink Deal, Bad Timing for Hortonworks?

Teradata now has a flavor of Hadoop for everyone.

This morning Hadoop distro provider MapR and Teradata, the big data analytics and marketing applications company, announced that they have expanded their partnership. What it comes down to, in the simplest possible terms, is that the companies will work together to integrate and co-develop their joint products and to create a unified go to market strategy,

Teradata will also be able to resell MapR software, professional services, and provide customer support.

In other words, Teradata will be the face of MapR to enterprises who use, or want to use, both technologies.

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